Songling Zhang

2.1k citations
67 papers · 1.1k indexed · 1 hit paper · h-index 20

Songling Zhang

64 papers receiving 1.1k citations

Hit Papers

Synchronously Evoking Disulfidptosis and Ferroptosis via ...20202520265101520

Peers

Songling Zhang
Comparison fields: 5 of 102
  • Cancer Research 307
  • Reproductive Medicine 84
  • Molecular Biology 662
  • Pharmacology 62
  • Immunology 143
Replace Lijing Wang with:
Lijing Wang China
Fangzhou Song China
Magdalena Klink Poland
Xinyue Zhang China
Jacinta Serpa Portugal
Haiyang Guo China
Chenglong Li China
Shuli Zhao China
Li Lai United States
Hakimeh Zali Iran
Songling Zhang relative to Lijing Wang China Lijing Wang's profile →
Citations per field
00.5×1.5×2.2×
Lijing Wang · 1×
Citations per year

Countries citing papers authored by Songling Zhang

Since Specialization
Citations

This map shows the geographic impact of Songling Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Songling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songling Zhang more than expected).

Fields of papers citing papers by Songling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songling Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Songling Zhang. The network helps show where Songling Zhang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Songling Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Songling Zhang Line = papers co-authored together Songling Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Synchronously Evoking Disulfidptosis and Ferroptosis via Systematical Glucose Deprivation Targeting SLC7A11/GSH/GPX4 Antioxidant Axisbreakdown →
202520
2 20250
3 20244
4 20245
5 20234
6 20231
7 20234
8 20233
9 202211
10 202224
11 202213
12 20224
13 20216
14 20212
15 201987
16 201813
17 201828
18 20171
19 2016117
20 201032

About Songling Zhang

Songling Zhang is a scholar working on Reproductive Medicine, Cancer Research and Obstetrics and Gynecology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), RNA modifications and cancer (6 papers), Nanoplatforms for cancer theranostics (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (307 citations), Reproductive Medicine (84 citations) and Molecular Biology (662 citations). Songling Zhang has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Xinxin Ci, Zhentong Wei, Hongming Lv, Lidong Wang, Genhong Cheng, Hang Cheng, Min Xie, Danjie Li, Andrew R. Hoffman and Lei Zhou. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Clinical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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